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results – AI Model by Yermalovich | AlphaNeural AI
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Yermalovich
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results
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transformers
safetensors
qwen2
text-generation
generated_from_trainer
conversational
Qwen/Qwen1.5-0.5B-Chat
finetune
other
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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This model is a fine-tuned version of
Qwen/Qwen1.5-0.5B-Chat
on the None dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 5e-05
train_batch_size: 4
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
20
1.2083
Framework versions
Transformers 4.53.0
Pytorch 2.7.1
Datasets 4.0.0
Tokenizers 0.21.1
